[PDF][PDF] Peculiarities of amplitude spectra of the third order for the early detection of indoor fires

B Pospelov, E Rybka, O Dashkovska, S Harbuz… - 2022 - repositsc.nuczu.edu.ua
The object of this study is the dynamics of hazardous parameters of the gas environment
during the ignition of materials. The problem that was solved is the early detection of fires in …

[PDF][PDF] Revealing the peculiarities of average bicoherence of frequencies in the spectra of dangerous parameters of the gas environment during fire

B Pospelov, V Andronov, E Rybka… - … -European Journal of …, 2023 - eprints.zu.edu.ua
The object of this study is a change in the hazardous parameters of the gas environment
when materials are ignited in the premises. The subject is the features of the average …

An in-process tool wear assessment using Bayesian optimized machine learning algorithm

MS Babu, TB Rao - International Journal on Interactive Design and …, 2023 - Springer
Cutting tool wear monitoring (TWM) plays a significant role because it guarantees the
machined surface integrity. Therefore, the present article proposed a TWM system using …

COMPARISON OF BICOHERENCE ON THE ENSEMBLE OF REALIZATIONS AND A SELECTIVE EVALUATION OF THE BISPECTRUM OF THE DYNAMICS OF …

B Pospelov, E Rybka… - Eastern-European …, 2023 - search.ebscohost.com
The object of the study is the bicoherence of the bispectrum assessment of the dynamics of
dangerous parameters of the gas environment during the ignition of materials. The subject is …

Tool condition monitoring for cavity milling based on bispectrum analysis and Bayesian optimized SVM

Y Li, G Wang, M Hu, K Ma - The International Journal of Advanced …, 2024 - Springer
Tool wear status seriously affects the dimensional accuracy and surface quality of machined
parts. Therefore, tool condition monitoring (TCM) is essential in the milling process of …

Surface roughness and tool wear monitoring in turning processes through vibration analysis using PSD and GRMS

R Bouchama, ML Bouhalais, A Cherfia - The International Journal of …, 2024 - Springer
This study presents a novel approach to monitor and predict surface roughness and tool
wear in the turning process, which is crucial for anticipating tool failures, reducing …

Modulation signal bispectrum analysis of motor current signals for online monitoring of turning conditions

Z Zou, C Li, G Shen, D Li, F Gu… - Measurement and …, 2024 - journals.sagepub.com
Maintaining exceptional product quality and boosting processing efficiency requires precise
evaluation of various aspects of the turning process, including the cutting depth, feed rate …

Machine Learning-based Bearing Fault Classification Using Higher Order Spectral Analysis.

A Sharma, GK Patra, VPS Naidu - Defence Science Journal, 2024 - search.ebscohost.com
In the defense sector, where mission success often hinges on the reliability of complex
mechanical systems, the health of bearings within aircraft, naval vessels, ground vehicles …

Revealing the features of the third order phase spectrum of the main dangerous parameters of the gas medium

B Pospelov, Y Bezuhla, O Yashchenko… - … -European Journal of …, 2022 - papers.ssrn.com
The object of this study is the dynamics of hazardous parameters of the gas environment
when materials are ignited in the premises. The task addressed was the early detection of …

Tool wear monitoring in CNC milling process based on vibration signals from an on-rotor sensing method

C Li, B Li, H Wang, D Shi, F Gu, AD Ball - International conference on the …, 2022 - Springer
A three-axis vibration wireless on-rotor sensing (ORS) was developed for milling tool wear
condition monitoring. It is designed with a novel inclination fixture allowing vibration in …